New Students Guide

Mathematics embodies the spirit of the liberal arts. Mathematics is an art, a pure science, a language and an analytical tool for the natural and social sciences. Statistics is becoming increasingly important in analyzing data in many fields, from biology to computer science to economics. The first-year mathematics curriculum is deliberately flexible. Our intent is to provide appropriate entry points whatever a student's level of preparation.

Most first-year students who take a mathematics course will begin in the calculus sequence:

Consult the calculus decision tree or visit the Calculus/Statistics Placement page to determine which calculus course.

Math 101: Calculus with Problem Solving. This course provides an introduction to the two fundamental notions of calculus: the derivative and the integral. The five days a week meeting format allows for review of pre-calculus topics as needed. Admission to Math 101 is by placement via Carleton Placement Exam #1 only.  After completion of Math 101, students may take Math 121.

Math 111: Calculus 1. A first introduction to the calculus that develops the derivative and the integral. Designed for students with little or no previous exposure to calculus. Upon successful completion of Math 111, students may take Math 121.

Math 121: Calculus 2.  Integration techniques, improper integrals, the calculus of the exponential, logarithmic, and inverse trigonometric functions, applications, indeterminate forms, Taylor polynomials, infinite series. For students with strong previous exposure to calculus. Strongly recommended for natural science majors. Upon completion of Math 121, students may take Math 211.

Math 211: Calculus 3.  Multivariable Calculus. Develops the calculus in two or more dimensions. Upon successful completion of Math 211, students may take Math 232.

If you have completed the calculus sequence consider:

Math 232: Linear Algebra. Topics include linear spaces and linear transformations, eigenvalues, eigenvectors and determinants.

Math 236: Mathematical Structures. An introduction to proof techniques (induction, proof by contradiction) as well as other foundational aspects of mathematics (equivalence relations, cardinality, etc).

Math 265: Probability. An introduction to discrete and continuous probability culminating in the Central Limit Theorem and Law of Large Numbers.

Refer to the Course catalog for a complete description.

Statistics:

There are several options for statistics.

  • Math 115: Statistics: Concepts and Applications. This course emphasizes statistical literacy.
  • Math 215: Introduction to Statistics. This course includes more data analysis than Math 115. If you plan to major in the natural sciences, environmental studies, economics or sociology/anthropology, you should take Math 215. If you plan to major in Political Science, you have the option to take Math 115 or Math 215, but we encourage you to consider Math 215.
  • Math 265-276: Probability and Introduction to Statistical Inference. If you have completed Calculus through Math 211 (Multivariable Calculus), we encourage you to consider this sequence (instead of Math 215). These two courses are required if you plan to major in the Mathematics/Statistics track.
  • Math 245: Applied Regression Analysis. If you have received a 4 or 5 on the AP Statistics exam, consider Applied Regression Analysis (Math 245). Completing this course with a C- or better will earn you 6 credits for Math 215.

Questions:

If you have questions regarding placement, please contact the Math Placement advisor.